Evidence-backed pains from real Microsoft 365 work. These are the research roots behind the courses, briefings, and blueprints in this Space.
What is a Blocker? A researched work friction point behind a course, briefing, or blueprint. Open one when you want the symptoms, evidence, and reason a solution exists.
Non-technical managers build AI automations that work in chat but fail on duplicate triggers, 7am errors, and missing approval steps. Production requires error branches and human review that tutorials skip.
Blocker Research
A manager builds and shares a custom GPT or Claude Project, but teammates keep using blank chats and asking the manager directly. The assistant dies after two weeks because instructions encode the builder's framing rather than actual team tasks, and no review gate or rollout…
Blocker Research
Mid-level managers get useful AI results but cannot delegate the same task without inconsistent or incomplete output. The manager's unspoken rules, accepted examples, and quality criteria stay trapped inside one chat session instead of becoming a delegation artifact the team can…
Blocker Research
Non-technical managers can run recurring processes from experience but struggle to document the judgement calls, exception rules, quality checks, and handoff decisions teams need. Tacit knowledge stays in one person's head, so teams ask the same questions in Slack, outputs…
Blocker Research
A non-technical mid-career manager faces a normal task but cannot decide if it belongs in simple chat, a custom GPT, a no-code automation, or an agent workflow. The confusion occurs before work starts, causing lost time on comparisons and inconsistent team choices.
Blocker Research
Non-technical managers can get useful AI results in isolated chats, but the work breaks when they try to make the process repeatable, reviewable, and safe enough for a team. The failure appears when personal judgement must become a shared workflow: clear inputs, reusable…